Summary
Ka Ng is an Assistant Technical Manager and software engineer with 8 years’ experience specializing in backend, data engineering, and smart city solutions. Rooted in a physics background (BSc, MPhil), Ka blends domain knowledge and machine learning to boost simulation speed and equipment-model accuracy using physics-guided ML. He has led teams of ~10 engineers to design microservice architectures, IoT platforms, and energy-saving systems, while driving migrations to Kubernetes and AWS. Past projects include cutting ETL times by 7x, halving MySQL CPU load, and building data lakes, warehouses, and FDD frameworks for real-world building controls. Ka is self-taught in many software practices, introduced agile and peer-review processes at scale, and pairs hands-on engineering with product-minded operational improvements. Based in Hong Kong, he’s motivated by applying physics-informed ML to make cities smarter and buildings more efficient.
7 years of coding experience
6 years of employment as a software developer
The Chinese University of Hong Kong (CUHK)